TIME SERIES ANALYSIS OF SHORT AND LONG TERM NEONATAL COMPLICATIONS

短期和长期新生儿并发症的时间序列分析

• 批准号: 7717953
• 负责人: ANNA A PENN
• 金额: --
• 依托单位: STANFORD UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2007
• 资助国家: 美国
• 起止时间: 2007-12-01 至 2008-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7717953
• 关键词: Birth Weight; Clinical; Computational Technique; Computer Retrieval of Information on Scientific Projects Database; Daily; Data; Data Collection; Electronics; Event; Funding; Grant; Health; Infant Mortality; Institution; Intensive Care; Laboratories; Measurement; Measures; Monitor; Morbidity - disease rate; Neonatal; Neonatal Intensive Care Units; Outcome; Patient Care; Patient Monitoring; Patients; Physiological; Population; Premature Infant; Purpose; Research; Research Design; Research Ethics Committees; Research Personnel; Resources; Source; Standards of Weights and Measures; Surveys; Testing; Time; Time Series Analysis; United States National Institutes of Health; base; prospective

This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. The subproject and investigator (PI) may have received primary funding from another NIH source, and thus could be represented in other CRISP entries. The institution listed is for the Center, which is not necessarily the institution for the investigator. The purpose of the study is to develop computational techniques for monitoring the health of patients in the NICU in order to allow early prediction of potential adverse outcomes. Predictions will be made based on data that are already being measured as a routine part of patient care: physiological measurements and standard laboratory tests. Our study makes use of electronic data that is already recorded in routine patient care, but that is discarded on a daily basis, necessitating prospective collection of data from patient monitors. We will record data from preterm infants with birth weights 401g to 1500g because this is a relatively uniform intensive care patient population who have frequent, well identified clinical problems that occur in a limited time period. Using data from this patient population allows us to retrospectively identify and correlate key clinical events that are routinely recorded at LPCH as part of the Survey of Morbidity and Mortality of Infants 401-1500g for the Cooperative Multicenter Network of Neonatal Intensive Care Units. Data collection study Type B, IP IRB Start date: 03/23/07 Patients @Stanford: 150

这个子项目是许多研究子项目中的一个 由NIH/NCRR资助的中心赠款提供的资源。子项目和 研究者（PI）可能从另一个NIH来源获得了主要资金， 因此可以在其他CRISP条目中表示。所列机构为 研究中心，而研究中心不一定是研究者所在的机构。 该研究的目的是开发用于监测NICU患者健康的计算技术，以便早期预测潜在的不良结局。预测将基于已经作为患者护理的常规部分进行测量的数据：生理测量和标准实验室测试。 我们的研究利用了在常规患者护理中已经记录的电子数据，但这些数据每天都会被丢弃，因此需要从患者监护仪中前瞻性收集数据。我们将记录出生体重为401 g至1500 g的早产儿的数据，因为这是一个相对统一的重症监护患者人群，他们在有限的时间内经常发生明确的临床问题。使用来自该患者人群的数据，我们可以回顾性地识别和关联LPCH常规记录的关键临床事件，作为新生儿重症监护病房合作多中心网络401- 1500 g婴儿发病率和死亡率调查的一部分。 数据收集研究 B类，IP IRB开始日期：2007年3月23日 患者@斯坦福大学：150